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Destination-aware target tracking via syntactic signal processing

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dc.contributor.authorFanaswala, M.
dc.contributor.authorKrishnamurthy, V.
dc.contributor.authorWhite, L.
dc.contributor.conferenceIEEE International Conference on Acoustics, Speech and Signal Processing (36th : 2011 : Prague, Czech Republic)
dc.date.issued2011
dc.description.abstractWe consider the prediction of a target's destination and simultaneously recover its filtered trajectory. Two novel models for trajectories with known destinations are presented using reciprocal stochastic processes and stochastic context-free grammars. We present a destination-aware syntactic tracker which uses conventional state-space estimates from a legacy tracker to perform prediction and trajectory estimation. We also provide statistical signal processing algorithms for model prediction and maximum likelihood sequence estimation using the proposed trajectory models. Simulation results show that both models considered in the paper have superior estimation performance compared to conventional hidden Markov modeling and can reliably predict the target's destination.
dc.description.statementofresponsibilityMustafa Fanaswala, Vikram Krishnamurthy, Langford White
dc.identifier.citation2011 IEEE International Conference on Acoustics, Speech, and Signal Processing : Proceedings, 2011: pp.3692-3695
dc.identifier.doi10.1109/ICASSP.2011.5947152
dc.identifier.isbn9781457705397
dc.identifier.issn1520-6149
dc.identifier.orcidWhite, L. [0000-0001-6660-0517]
dc.identifier.urihttp://hdl.handle.net/2440/70426
dc.language.isoen
dc.publisherIEEE
dc.publisher.placeUSA
dc.rightsCopyright ©2011 by the Institute of Electrical and Electronics Engineers, Inc. All rights reserved.
dc.source.urihttps://doi.org/10.1109/icassp.2011.5947152
dc.subjectstochastic reciprocal processes
dc.subjectstochastic context-free grammars
dc.subjectdestination-aware filter
dc.subjectintent inference
dc.subjecttrajectory estimation
dc.titleDestination-aware target tracking via syntactic signal processing
dc.typeConference paper
pubs.publication-statusPublished

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